Overview

Reminder

Final Project Proposal Due: Wed, Mar 12th
📚 HW 4 Available Now Due: Mon, March 17th (by Midnight)
📚 Final Project Due: Thurs, Mar 20th
Final Project Submission Instructions

Weekly Plan: Linear Mixed Models & Course Summary

Monday March 10th

• Final Project submission overview

• Introduction to Linear Mixed Models

• 📚 Lab Notebook

Tuesday March 11th

• LMMs II

• 📚 Update and continue with yesterday’s Lab Notebook

Wednesday March 12th

• Course Summary & Wrap Up

Lots of LMM Resources

• Hierarchical Models Viz

• Mixed Models with R

• Introducing linear mixed-effects models

• A very basic tutorial for performing LMM analyses by Bodo Winter (Eshin really enjoyed this when he was in grad-school)

• Standard Operating Procedures for LMMs by D2P2 Lab

• Mixed Models Workshop Tutorial

• Pymer4 Random Effects Cheatsheet

• Lme4 Random Effects Cheatsheet

• What is the upside of treating a factor as random? (Great answer by Jake Westfall, another well-respected developer of LMM tools and techniques)

• Why I don’t use the term “fixed and random effects” by Andrew Gelman

• Centering in LMMs

• How to Center in LMMs

• Readings & Papers

  • Data Analysis: A Model Comparison Approach

    • Chapter 12: Incorporating Continuous Predictors with Non-independent Data

  • Pivotal Papers

    • Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language, 68(3), 255–278.

    • Baayen, R. H., Davidson, D. J., & Bates, D. M. (2008). Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language, 59(4), 390–412.

    • Clark, H. H. (1973). The language-as-fixed-effect fallacy: A critique of language statistics in psychological research. Journal of Verbal Learning and Verbal Behavior, 12(4), 335–359.